Evidence map›Paper›PMID 37160768›Full record

ArticleBioprocess and biosystems engineering2023

Methanol bioconversion in Methylotuvimicrobium buryatense 5GB1C through self-cycling fermentation.

Yusheng Tan, Lisa Y Stein, Dominic Sauvageau

Abstract read
PubMed Publisher
In one paragraph

Article in Bioprocess and biosystems engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Yusheng TanDepartment of Chemical and Materials Engineering, University of Alberta, 9211-116 St. NW, Edmonton, AB, T6G 1H9, Canada.
Lisa Y SteinDepartment of Biological Sciences, University of Alberta, Edmonton, AB, Canada.
Dominic SauvageauDepartment of Chemical and Materials Engineering, University of Alberta, 9211-116 St. NW, Edmonton, AB, T6G 1H9, Canada. dominic.sauvageau@ualberta.ca.
University of Alberta · CA

Funding

Alberta Innovates Clean Technology Development (CTD)Alberta Ministry of Economic Development and Trade Small Equipment GrantCanada First Research Excellence Fund Future Energy Systems - University of AlbertaCanada Foundation for Innovation John R. Evans Leaders FundNatural Sciences and Engineering Research Council of Canada Discovery
6 · The paper itself

Abstract

Methanol is an abundant and low-cost next-generation carbon source. While many species of methanotrophic bacteria can convert methanol into valuable bioproducts in bioreactors, Methylotuvimicrobium buryatense 5GB1C stands out as one of the most promising strains for industrialization. It has a short doubling time compared to most methanotrophs, remarkable resilience against contamination, and a suite of tools enabling genetic engineering. When approaching industrial applications, growing M. buryatense 5GB1C on methanol using common batch reactor operation has important limitations; for example methanol toxicity leads to mediocre biomass productivity. Advanced bioreactor operation strategies, such as fed-batch and self-cycling fermentation, have the potential to greatly improve the industrial prospects of methanotrophs growing on methanol. Herein, implementation of fed-batch operation led to a 26-fold increase in biomass density, while two different self-cycling fermentation (SCF) strategies led to 3-fold and 10-fold increases in volumetric biomass productivity. Interestingly, while synchronization is a typical trait of microbial populations undergoing SCF, M. buryatense 5GB1C cultures growing under this mode of operation led to stable, reproducible cycles but no significant synchronization.

Indexed as

MethanolMethylococcaceaeBioreactorsFermentationMethaneMethaneMethanolFed-batch fermentationMethanolMethanotrophMethylotuvimicrobium buryatenseMicrobial productivitySelf-cycling fermentation

Identifiers

PMID37160768
OpenAlexW4376121145

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.